Upload README.md

README.md

@@ -1,34 +1,32 @@
 ---
 license: apache-2.0
 inference: false 
-tags: [green, p3, llmware-chat, onnx]
+tags: [green, llmware-chat, p3, ov]
 ---
 
-# phi-3-onnx
+# phi-3-ov
 
 <!-- Provide a quick summary of what the model is/does. -->
 
-**bling-tiny-llama-ov** is an OpenVino int4 quantized version of BLING Tiny-Llama 1B, providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU.    
-
-[**bling-tiny-llama**](https://huggingface.co/llmware/bling-tiny-llama-v0) is a fact-based question-answering model, optimized for complex business documents.  
-
-Get started right away with [OpenVino](https://github.com/openvinotoolkit/openvino) 
-
-Looking for AI PC solutions and demos, contact us at [llmware](https://www.llmware.ai)    
+**phi-3-ov** is an OpenVino int4 quantized version of [Microsoft Phi-3-mini-4k-instruct](https://www.huggingface.co/microsoft/Phi-3-mini-4k-instruct), providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU.    
 
 
 ### Model Description
 
-- **Developed by:** llmware  
-- **Model type:** phi-3-mini  
-- **Parameters:** 3.8 billion
+- **Developed by:** microsoft   
+- **Quantized by:** llmware  
+- **Model type:** phi3  
+- **Parameters:** 3.8 billion  
 - **Model Parent:** microsoft/Phi-3-mini-4k-instruct  
 - **Language(s) (NLP):** English  
 - **License:** Apache 2.0  
-- **Uses:** General  
-- **RAG Benchmark Accuracy Score:** NA
+- **Uses:** Chat, general-purpose LLM  
 - **Quantization:** int4  
   
+Get started right away with [OpenVino](https://github.com/openvinotoolkit/openvino) 
+
+Looking for AI PC solutions and demos, contact us at [llmware](https://www.llmware.ai)    
+
 
 ## Model Card Contact